Emotion Navigation via EEG-fMRI Mapping in Human-Centric Lighting

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Solution Overview

Problem

Current methods for determining human emotions using fMRI and EEG are either too expensive for commercial applications or unreliable due to variations in brainwave patterns among individuals, making it impossible to construct a commercial human-centric lighting system that effectively adjusts lighting to match emotional states.

Innovation Solution

A method that correlates EEG brainwave patterns with fMRI blood oxygen-level dependent (BOLD) contrast responses to create a multispectral lighting recipe for emotion navigation, using a cloud-connected intelligent lighting system to adjust lighting parameters like color temperature, illuminance, and flicker frequency to guide users towards specific emotional states.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fMRI system is used to determine emotions through blood oxygen-level dependent (BOLD) contrast response, then measurement precision is improved, but device complexity and cost increase significantly making it unsuitable for commercial applications

Engineering Contradiction:
Improveemotion determination accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a mapping relationship between EEG brainwave patterns and fMRI BOLD contrast responses by having subjects experience multiple emotions while measured by both systems. This allows the complex fMRI data to be copied and represented through simpler, more commercially viable EEG measurements, enabling emotion determination without requiring expensive fMRI equipment.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces EEG as an intermediary measurement tool that bridges the gap between the highly accurate but complex fMRI system and practical commercial applications. By establishing a correlation model where EEG patterns serve as proxies for fMRI BOLD responses, the system achieves comparable emotion determination accuracy through a simpler, more affordable intermediary measurement approach.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If EEG brainwave patterns are used to determine emotions, then device complexity is reduced for commercial application, but reliability deteriorates due to variations in brainwave patterns among different individuals

Engineering Contradiction:
Improvesystem complexityVSAvoidemotion determination reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent performs preliminary calibration by having each subject experience multiple emotions while their EEG patterns are recorded and mapped to corresponding fMRI BOLD responses in advance. This pre-established mapping relationship accounts for individual variations in brainwave patterns, allowing the system to reliably determine emotions for each individual based on their unique calibration data rather than relying on generic EEG-emotion correlations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent transforms the raw EEG brainwave parameters into calibrated emotion-indicating parameters through the established mapping relationship. By changing the interpretation parameters from generic brainwave patterns to individualized, fMRI-calibrated patterns, the system maintains reliability across different individuals while using the simpler EEG measurement approach.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If only a single measurement system (either fMRI or EEG) is used, then device complexity is reduced, but measurement precision deteriorates due to the limitations of each individual system

Engineering Contradiction:
Improvesystem complexityVSAvoidemotion determination accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent uses fMRI BOLD contrast responses as the reference standard and creates corresponding EEG pattern copies that represent the same emotional states. By establishing this mapping, the system captures the high precision of fMRI measurements through the simpler EEG modality, achieving accurate emotion determination without requiring both complex systems to operate simultaneously.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20230363065A1Method for implementing emotion navigation by using intelligence human centric lighting system
Publication Date: 2023.11.09 LIN LAWRENCE
  • US20230363065A1 patent drawing
  • US20230363065A1 patent drawing
  • US20230363065A1 patent drawing

AI summary

The present invention discloses a method for implementing emotion navigation by using an intelligent human centric lighting system. The emotion navigation method includes the following steps. Step 1 is to confirm an initial emotion of a user. Step 2 is to set a target emotion. Step 3 is to select a relay emotion to set an emotion navigation path. Step 4 is to edit a multispectral recipe corresponding to the relay emotion and the target emotion according to the multispectral recipe. Step 5 is to perform a lighting program of the multispectral recipe of the relay emotion and the target emotion. If the determination is not reaching the target emotion of Step 6, then go to obtain the user's personal physiological data to find out the multispectral recipe of the corresponding emotion that can adjust to the target emotion.